AMS:TOM2
TomTom N.V. Stock Price (Quote)
5.24€
+0.0300 (+0.576%)
At Close: Jun 27, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 5.18€ | 6.09€ | Thursday, 27th Jun 2024 TOM2.AS stock ended at 5.24€. This is 0.576% more than the trading day before Wednesday, 26th Jun 2024. During the day the stock fluctuated 2.12% from a day low at 5.18€ to a day high of 5.29€. |
90 days | 5.18€ | 7.68€ | |
52 weeks | 5.11€ | 8.14€ |
Historical TomTom N.V. prices
Date | Open | High | Low | Close | Volume |
Jun 27, 2024 | 5.18€ | 5.29€ | 5.18€ | 5.24€ | 187 666 |
Jun 26, 2024 | 5.45€ | 5.50€ | 5.18€ | 5.21€ | 414 432 |
Jun 25, 2024 | 5.56€ | 5.63€ | 5.46€ | 5.47€ | 155 741 |
Jun 24, 2024 | 5.64€ | 5.66€ | 5.45€ | 5.61€ | 267 929 |
Jun 21, 2024 | 5.64€ | 5.64€ | 5.50€ | 5.53€ | 236 602 |
Jun 20, 2024 | 5.57€ | 5.67€ | 5.51€ | 5.65€ | 161 952 |
Jun 19, 2024 | 5.57€ | 5.64€ | 5.50€ | 5.51€ | 207 563 |
Jun 18, 2024 | 5.48€ | 5.51€ | 5.36€ | 5.43€ | 213 996 |
Jun 17, 2024 | 5.58€ | 5.63€ | 5.44€ | 5.44€ | 299 900 |
Jun 14, 2024 | 5.65€ | 5.67€ | 5.45€ | 5.49€ | 348 316 |
Jun 13, 2024 | 6.00€ | 6.09€ | 5.64€ | 5.64€ | 437 003 |
Jun 12, 2024 | 5.76€ | 5.89€ | 5.70€ | 5.83€ | 241 192 |
Jun 11, 2024 | 5.69€ | 5.82€ | 5.67€ | 5.70€ | 208 024 |
Jun 10, 2024 | 5.70€ | 5.75€ | 5.64€ | 5.68€ | 136 900 |
Jun 07, 2024 | 5.76€ | 5.83€ | 5.70€ | 5.73€ | 154 387 |
Jun 06, 2024 | 5.72€ | 5.86€ | 5.68€ | 5.72€ | 256 192 |
Jun 05, 2024 | 5.68€ | 5.74€ | 5.60€ | 5.68€ | 261 551 |
Jun 04, 2024 | 5.81€ | 5.82€ | 5.60€ | 5.64€ | 274 794 |
Jun 03, 2024 | 5.70€ | 5.85€ | 5.70€ | 5.82€ | 225 209 |
May 31, 2024 | 5.73€ | 5.73€ | 5.61€ | 5.70€ | 246 504 |
May 30, 2024 | 5.62€ | 5.73€ | 5.61€ | 5.70€ | 206 184 |
May 29, 2024 | 5.74€ | 5.75€ | 5.65€ | 5.66€ | 127 917 |
May 28, 2024 | 5.71€ | 5.94€ | 5.70€ | 5.73€ | 478 753 |
May 27, 2024 | 5.58€ | 5.70€ | 5.56€ | 5.70€ | 99 684 |
May 24, 2024 | 5.59€ | 5.59€ | 5.52€ | 5.58€ | 140 312 |
FAQ
What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
How can I use TOM2.AS stock historical prices to predict future price movements?
Trend Analysis: Examine the TOM2.AS stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
Why do the TOM2.AS stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.
How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.